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ML Engineering Course
Tek time master di basics of Machine Learning Engineering wid wi ML Engineering Course weh comprehensive. Dis yah course design fi tech professionals, an it kova everything from data collection an preprocessing, to model training, evaluation, an deployment inna production. Plunge deep inna recommendation systems, explore machine learning algorithms dem, an learn fi integrate real-time predictions wid e-commerce platforms. Get di practical skills dem inna scalability, documentation, an reporting, mek sure seh yuh ready fi real-world applications.
- Deploy models: Master scalability an real-time predictions inna production.
- Build recommendation systems: Explore di types dem an e-commerce applications.
- Implement ML algorithms: Use hybrid, content-based, an collaborative methods dem.
- Train an evaluate models: Learn bout precision, recall, an F1-score metrics dem.
- Preprocess data: Identify di sources dem, encode, normalize, an handle missing data.
from 4 to 360h flexible workload
certificate recognized by the MEC
What will I learn?
Tek time master di basics of Machine Learning Engineering wid wi ML Engineering Course weh comprehensive. Dis yah course design fi tech professionals, an it kova everything from data collection an preprocessing, to model training, evaluation, an deployment inna production. Plunge deep inna recommendation systems, explore machine learning algorithms dem, an learn fi integrate real-time predictions wid e-commerce platforms. Get di practical skills dem inna scalability, documentation, an reporting, mek sure seh yuh ready fi real-world applications.
Elevify advantages
Develop skills
- Deploy models: Master scalability an real-time predictions inna production.
- Build recommendation systems: Explore di types dem an e-commerce applications.
- Implement ML algorithms: Use hybrid, content-based, an collaborative methods dem.
- Train an evaluate models: Learn bout precision, recall, an F1-score metrics dem.
- Preprocess data: Identify di sources dem, encode, normalize, an handle missing data.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students are saying
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